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Connection

Hava Siegelmann to Machine Learning

This is a "connection" page, showing publications Hava Siegelmann has written about Machine Learning.
Connection Strength

0.429
  1. Shifrin M, Siegelmann H. Near-optimal insulin treatment for diabetes patients: A machine learning approach. Artif Intell Med. 2020 07; 107:101917.
    View in: PubMed
    Score: 0.149
  2. Saunders DJ, Patel D, Hazan H, Siegelmann HT, Kozma R. Locally connected spiking neural networks for unsupervised feature learning. Neural Netw. 2019 Nov; 119:332-340.
    View in: PubMed
    Score: 0.140
  3. Patel D, Hazan H, Saunders DJ, Siegelmann HT, Kozma R. Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game. Neural Netw. 2019 Dec; 120:108-115.
    View in: PubMed
    Score: 0.140
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.